I am an experienced AI Developer and Data Scientist specializing in AI development particularly within healthcare diagnostics, computer vision, and deep learning applications. My work includes developing sophisticated models, such as Vision Transformers and Large Language Models, to drive early disease detection and create socio-economic classifiers. With a deep academic background in computational biology and computer science, I have contributed to research projects involving graph neural networks and hierarchical enzyme classification. I am passionate about bridging research and engineering while delivering scalable solutions, and I enjoy collaborating with diverse teams to translate high-level objectives into impactful, technical implementations.

Safyan Aman Memon

I am an experienced AI Developer and Data Scientist specializing in AI development particularly within healthcare diagnostics, computer vision, and deep learning applications. My work includes developing sophisticated models, such as Vision Transformers and Large Language Models, to drive early disease detection and create socio-economic classifiers. With a deep academic background in computational biology and computer science, I have contributed to research projects involving graph neural networks and hierarchical enzyme classification. I am passionate about bridging research and engineering while delivering scalable solutions, and I enjoy collaborating with diverse teams to translate high-level objectives into impactful, technical implementations.

Available to hire

I am an experienced AI Developer and Data Scientist specializing in AI development particularly within healthcare diagnostics, computer vision, and deep learning applications. My work includes developing sophisticated models, such as Vision Transformers and Large Language Models, to drive early disease detection and create socio-economic classifiers.

With a deep academic background in computational biology and computer science, I have contributed to research projects involving graph neural networks and hierarchical enzyme classification. I am passionate about bridging research and engineering while delivering scalable solutions, and I enjoy collaborating with diverse teams to translate high-level objectives into impactful, technical implementations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Lead Data Scientist at TenX Pvt. Ltd.
May 1, 2025 - August 28, 2025
Designed socio-economic classifiers using K-Means clustering and PCA for feature engineering, developed LLM-powered classification explainers using LLaMA 3, LangChain, and LangGraph, deployed scalable REST API solutions with FastAPI and Docker, and led User Acceptance Testing for prediction models. Also contributed to presales showcasing automation of ontology and knowledge graph construction using RAG, LLMs, and GenAI.
AI Developer at Maanz AI
May 1, 2025 - Present
Leading AI development for Praid AI, a healthcare diagnostics platform, focusing on early disease detection using deep learning computer vision models such as Vision Transformers, YOLO, and EfficientNet. Responsibilities also include end-to-end workflow design, dataset curation, diagnostic pipeline structuring, task prioritization, and authoring comprehensive development documentation.
Associate Data Scientist at TenX Pvt. Ltd.
November 30, 2024 - August 28, 2025
Contributed to Enterprise Feature Store project for Jazz Telecom, developed statistical age prediction models with advanced feature engineering, built hierarchical occupation prediction models with semi-supervised pseudo-labeling, and participated in churn prediction model development and project documentation.
Graduate Research Student and Lab Administrator at Combine Lab at McGill University
February 1, 2024 - August 28, 2025
Conducted thesis research on graph-based deep learning methods to predict compound-induced differential gene expression, developed deep learning model MARSY to predict drug-pair synergy scores incorporating gene expression profiles and differential expression signatures.
Research Assistant at Computational Biology Research Lab (CBRL) at NUCES
May 1, 2021 - August 28, 2025
Developed HECNet, a hierarchical deep learning approach for enzyme EC number prediction using Siamese triplet networks achieving high accuracy and F1 scores. Extended the project to multi-functional enzyme classification with novel loss functions achieving significant hierarchical subset accuracy.
PHP Developer at Esper Solutions
August 31, 2018 - August 28, 2025
Developed an application integrating multiple APIs for social media and ride-sharing platforms to extract and display feeds and ride details. Built front-end and back-end components for integration within a larger desktop application.
Web Developer Intern at Ufone
August 31, 2017 - August 28, 2025
Developed two desktop HR applications—Talent Pool for hiring process management and Ask-HR for improved employee-HR communication—deployed successfully into production.

Education

Master of Science (MSc) Electrical and Computer Engineering (Thesis – Computational Biology) at McGill University
January 1, 2021 - February 1, 2024
Bachelor of Science (BSc) Computer Science at National University of Computer and Emerging Sciences (NUCES)
January 1, 2014 - May 1, 2018

Qualifications

Oracle Cloud Infrastructure 2024 Generative AI Professional
January 1, 2024 - August 28, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - August 28, 2025

Industry Experience

Healthcare, Life Sciences, Software & Internet, Telecommunications, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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